{
  "id": 16350,
  "url": "https://link.springer.com/article/10.1007/s00146-026-03240-1",
  "title": "Two religious chatbots walk into a bar: can religious identity prompts foster more pro-social LLM responses?",
  "summary": "There are growing concerns about the ability of large language models (LLMs) to make choices that reflect ethical behavior, particularly as these systems become more integrated into real-world decision-making. Motivated by the role of religion as a longstanding system of moral formation, we explore the potential for religious identity prompts (RIP) to lead LLMs to generate responses consistent with ethical behavior. We begin by reviewing the literature on the intersection between AI alignment, s",
  "authors": null,
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-04T00:00:00.000Z",
  "fetched_at": "2026-08-05T05:10:44.550Z",
  "source_slug": "x-ai-society",
  "source_name": "AI & Society",
  "source_homepage": "https://link.springer.com/journal/146",
  "ethics_ai_record_url": "https://ethics.ai/record/16350",
  "original_url": "https://link.springer.com/article/10.1007/s00146-026-03240-1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}